Data Scientist

Technologies we use

Expected

• Python
• Google Cloud Platform
• Kubernetes
• Docker
• Consul
• GitHub
• GitHub Actions

Optional

• MacOS

Operating system

• macOS
• Linux

About the project

In the Consumer domain, we create and maintain customer-facing applications that help millions of clients each day to complete their purchases. We are looking for a mid-level Data Scientist to join our team and help move our search engine beyond simple keyword matching toward a Domain-Aware Hybrid Search (integrating LLMs, Semantic Search, and Knowledge Graphs). In this role, you will be responsible for supporting the development of the Central Query Understanding mechanism and implementing Predictive & Assistive Discovery to reduce the "cost of search" through automated intent recognition.

This is how we organize our work

This is how we work

• you have influence on the choice of tools and technologies
• you have influence on the technological solutions applied
• you focus on product development
• you focus on code maintenance
• agile
• scrum

Team members

• backend developer
• technical leader
• devOps
• data scientist
• product owner
• project manager

Your responsibilities

• Designing, developing, and deploying models that solve complex business problems, including predictive, segmentation, forecasting, and recommendation models.
• Developing query-to-category and query-to-product matching models to enhance the search experience.
• Building internal AI Engineering competence, including fine-tuning small, efficient models.
• Taking an active part in all Data Science project phases: from problem formulation and data exploration to modeling, automation, release, and monitoring.
• Using a wide range of model types, including boosting, Bayesian methods, causal inference, optimization methods, deep learning, and forecasting models.
• Collaborating across teams, partnering with business stakeholders, analytics, and data engineering teams on experiment setup and deployment.
• Ensuring models reflect business processes' specificity and staying up-to-date with GenAI challenges.

Our requirements

• Have a degree strongly related to statistical/mathematical modeling.
• Possess at least 2 years of experience in data analysis and building machine learning solutions that have been released to production.
• Have a strong understanding of statistical and machine learning methods, specifically for forecasting and decision tree-based algorithms.
• Are proficient in Python and efficient in using basic development tools.
• Can process massive datasets (terabytes of data) using Google Cloud Platform solutions, working with tabular, spatial, natural language, image, and time-series data.
• Know English at a B2 level and Polish at a C1 level.
• Demonstrate core competencies in Analytical Thinking, Learning Agility, Cooperation, and Continuous Improvement & Innovation.

What we offer

• Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
• Annual bonus based on your annual performance and company results.
• Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
• A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
• A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
• English classes that we pay for related to the specific nature of your job.
• A training budget, inter-team tourism, hackathons, and an internal learning platform where you will find multiple trainings.
• An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
• Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.
• And that's just the beginning! You can read more about the benefits here.

This is how we work on a project

• code review
• Continuous Integration
• DevOps
• team-level deployment
• documentation
• issue tracking tools
• test automation
• unit tests

Development opportunities we offer

• conferences in Poland
• development budget
• external training
• intracompany training
• mentoring
• support of IT events
• technical knowledge exchange within the company
• time for development of your ideas

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things.
• You get to choose which technology solves the problem and you are responsible for what you create.
• You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
• You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!
• Send us your CV and... see you at Allegro!